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Altair

visualization

Declarative statistical visualization library for Python

2M/week → Stable

Features

declarativevega-litevisualizationgrammar-of-graphicsinteractive

Pros and Cons

Ventajas

  • + Concise declarative syntax
  • + Based on Vega-Lite (open standard)
  • + Interactive charts by default
  • + Easy concatenation and faceting
  • + Excellent pandas integration
  • + Export to JSON, HTML, PNG

Desventajas

  • - Fewer chart types than plotly
  • - Limited performance with many points
  • - Requires learning grammar of graphics
  • - Complex advanced customization
  • - Less popular than matplotlib/plotly

Use Cases

  • Quick exploratory visualization
  • Charts for notebooks
  • Dashboards with panel
  • Reproducible visualizations
  • Charts for publications
  • Interactive data analysis

Tecnologías Relacionadas

Compatible with

Alternatives